Usage of Fourier transforms for spectral analysis of sounds in the courses of computer physics and information security.

Keywords: Fourier transforms, spectral analysis, educational programming, Python language, Numpy library, interdisciplinary connections, computer physics, information security

Abstract

The simple examples of program code through which Fourier transform is realized on the Pyton language by the means of Numpy library is considered and tested. The program code may be used in different domains of physics for illustration the analysis of wave processes. In particular, it is especially relevant in the domains of acoustics, optics and the course of information security. The material demonstrates different inter-disciplinary connections between mathematics, informatics with different domains of physics and the course of information security.

References

Holovin M.B. Applications of computer physics via Visual Python language on the example of modeling of force interaction. / N.A.Holovina, M.B. Holovin, А.А.Fedoniuk // Computer integrated technologies: education, science, production" Lutsk, 2020. Issue № 40 с.16-22. http://cit-journal.com.ua/index.php/cit/article/view/151

Nussbaumer G. Fast Fourier transforms and algorithms for calculating convolutions. — М.: Radio and communication, 1985.

Gr.Vander Plas. Python for complex tasks. Data science and machine learning = Python Data Science Handbook: Essential Tools for Working with Data. — Petersburg, 2017. — 576 с.

Taranenko Yu. Spectral analysis

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Published
2021-03-25
How to Cite
Holovin, M., & Holovina , N. (2021). Usage of Fourier transforms for spectral analysis of sounds in the courses of computer physics and information security . COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (42), 37-42. https://doi.org/10.36910/6775-2524-0560-2021-42-06